Aventior
is excited to announce the launch of its Vehicle Detection Deep Learning
Algorithm on the ESRI marketplace. Detecting vehicles and determining their
count from satellite imagery is a complex and
time-consuming approach. For handling such intricate tasks, deep learning
models offer the superior capability to learn such complex workflow semantics
and produce exemplary results. This Deep Learning based process block is
capable of detecting and counting various vehicles such as Cars, Vans, Pickup
Trucks and Buses, in satellite images in an automated fashion, thus reducing
effort and time for analysis. Aventior’s Vehicle Detection Deep
Learning model delivers exemplary performance on 30 cm resolution
satellite imagery.
Aventior’s
Vehicle Detection Model results can be used for a variety of purposes,
including base map preparation, humanitarian aid, disaster management, and
transportation planning. Applications range from taxation, urban planning,
public works, visualization, simulation to a wide range of suitability analysis
applications.
